herding
Kernel herding is a kind of quasi-monte carlo where samples are chosen successively to approximate known kernel moment constraints.
In the video also linked below, the green dots are landmark locations y and the expected value of a gaussian kernel E[ker(x,y)] is assumed known for the desired distribution for x, which happens to be Gaussian.
See examples
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Release files for herding 0.0.2
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Source distribution (sdist)
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| herding-0.0.2.tar.gz | 10.1 kB | Details |
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| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| herding-0.0.2-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 24.2 kB
Release files / herding-0.0.2.tar.gz
| Download URL | herding-0.0.2.tar.gz |
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Release files / herding-0.0.2-py3-none-any.whl
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| Size | 14.1 kB |
| Tags | Python 3 |
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